First Light: New RFI Pipeline Deployed
Our unsupervised machine learning pipeline successfully filtered 50 terabytes of radio frequency interference from the ALMA array in record time.
Santiago, Chile Node
Mining Deep Space Data for
Radio Astronomy Discoveries
Welcome to **ADMiRAL**. We process massive astrophysical data pipelines, filtering out cosmic radio frequency interference using advanced algorithms, and exploring deep-space signals.
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View All Archive ➔Magister Researchers
The next-generation minds driving our radio data pipelines.
Mateo Muñoz
Magister ResearcherProcessing massive daily streams from the ALMA observatory array. Specialized in developing Post-Processing pipeline algorithms to automate cosmic noise isolation using advanced clustering models.